{"id":"https://openalex.org/W7167697516","doi":"https://doi.org/10.48550/arxiv.2607.06268","title":"MAC-XA: Multi-view Anatomy-Correspondence Fusion for Coronary Stenosis Reporting from X-ray Angiography","display_name":"MAC-XA: Multi-view Anatomy-Correspondence Fusion for Coronary Stenosis Reporting from X-ray Angiography","publication_year":2026,"publication_date":"2026-07-07","ids":{"openalex":"https://openalex.org/W7167697516","doi":"https://doi.org/10.48550/arxiv.2607.06268"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.06268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.06268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103664425","display_name":"Chen Jia","orcid":"https://orcid.org/0000-0003-4829-7889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140237087","display_name":"Baochang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Baochang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008858284","display_name":"Fatia Kusuma Dewi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dewi, Fatia Kusuma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000709270","display_name":"Amir Yousefi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousefi, Amir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140278928","display_name":"Heribert Schunkert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schunkert, Heribert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110763673","display_name":"Reza Ghotbi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghotbi, Reza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140229505","display_name":"Nassir Navab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navab, Nassir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6868000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6868000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.04600000008940697,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.03849999979138374,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.6157000064849854},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5069000124931335},{"id":"https://openalex.org/keywords/coronary-angiography","display_name":"Coronary angiography","score":0.49410000443458557},{"id":"https://openalex.org/keywords/stenosis","display_name":"Stenosis","score":0.4934999942779541},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.4408000111579895},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43149998784065247},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.42649999260902405},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.40529999136924744}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.6157000064849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131000280380249},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C3019004856","wikidata":"https://www.wikidata.org/wiki/Q42297149","display_name":"Coronary angiography","level":3,"score":0.49410000443458557},{"id":"https://openalex.org/C2780007028","wikidata":"https://www.wikidata.org/wiki/Q2343082","display_name":"Stenosis","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4758000075817108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4724000096321106},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.4408000111579895},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4271000027656555},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.40529999136924744},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3898000121116638},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.36500000953674316},{"id":"https://openalex.org/C2779128569","wikidata":"https://www.wikidata.org/wiki/Q42297149","display_name":"Angiocardiography","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C2776127602","wikidata":"https://www.wikidata.org/wiki/Q5038319","display_name":"Cardiac imaging","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.06268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.06268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.06268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-view":[0],"reasoning":[1],"in":[2,16,113],"coronary":[3],"X-ray":[4],"angiography":[5,101],"is":[6,58,66,104],"inherently":[7],"a":[8,61],"cross-projection":[9],"geometric":[10],"problem,":[11],"yet":[12],"automated":[13],"report":[14],"generation":[15,102],"this":[17,87,156],"setting":[18],"remains":[19],"largely":[20],"unexplored.":[21],"The":[22,175],"3D":[23],"vascular":[24],"topology":[25],"leads":[26],"to":[27,106,134,140,151,167],"projection-dependent":[28],"branch":[29],"overlap":[30],"and":[31,38,43,68,148,162,170],"foreshortening,":[32],"rendering":[33],"single-view":[34,168],"modeling":[35,169],"fundamentally":[36],"incomplete":[37],"unstable":[39],"for":[40],"lesion":[41],"localization":[42],"stenosis":[44,91,164],"grading.":[45],"Although":[46],"multi-view":[47,90,172],"fusion":[48,54,75,173],"appears":[49],"promising,":[50],"learning":[51],"anatomically":[52,141],"consistent":[53,142],"from":[55],"real":[56,114,152],"angiograms":[57,153],"impeded":[59],"by":[60,88],"critical":[62],"limitation:":[63],"cross-view":[64,120],"alignment":[65],"unobservable":[67],"cannot":[69],"be":[70,178],"explicitly":[71,124],"supervised.":[72],"Consequently,":[73],"conventional":[74,171],"relies":[76],"on":[77,145],"implicit":[78],"correlations":[79],"rather":[80],"than":[81],"verified":[82],"anatomical":[83],"correspondence.":[84],"We":[85],"address":[86],"reformulating":[89],"reporting":[92,165],"as":[93],"an":[94],"alignment-constrained":[95,157],"aggregation":[96,139],"problem.":[97],"A":[98],"controllable":[99],"synthetic":[100,146],"strategy":[103],"introduced":[105],"expose":[107],"geometry-derived":[108],"patch-level":[109],"correspondence":[110,121,160],"supervision":[111],"unavailable":[112],"data.":[115],"An":[116],"anatomy-correspondence":[117],"module":[118],"learns":[119],"matrices":[122],"that":[123,155],"align":[125],"auxiliary":[126],"features":[127],"within":[128],"the":[129],"main-view":[130],"coordinate":[131],"space":[132],"prior":[133],"fusion,":[135],"thereby":[136],"constraining":[137],"evidence":[138],"regions.":[143],"Experiments":[144],"data":[147],"zero-shot":[149],"transfer":[150],"show":[154],"design":[158],"improves":[159],"consistency":[161],"structured":[163],"compared":[166],"methods.":[174],"code":[176],"will":[177],"publicly":[179],"available":[180],"upon":[181],"publication.":[182]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-09T00:00:00"}